Identification of Potential Hazard using Hazard Identification and Risk Assessment

Sari, R M; Syahputri, Khalida; Rizkya, I; Siregar, Ikhsan

doi:10.1088/1757-899x/180/1/012120

Cited by 13 publications

(12 citation statements)

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“…This was due to the reason that in the beginning, plenty of vacant absorption sites were present on the surface of the aerobic granules which caused the rapid removal of metal ions. However, in the latter stage, the remaining empty spaces were difficult to occupy due to repulsions between the adsorbed ions on the biosorbent surface and the non-adsorbed metallic species in the aqueous phase [26]. The data highlight that both types of granules were more efficient in removing Cd 2+ than Ni 2+ , and approximately 40 % more Cd 2+ was adsorbed on the sorbent surface compared with Ni 2+ .…”

Section: Effect Of Reaction Time On the Biosorption Of Ni 2+ And CD 2+mentioning

confidence: 91%

Biosorption and Binding Mechanisms of Ni²⁺ and Cd²⁺ with Aerobic Granules Cultivated in Different Synthetic Media

2017

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Aerobic granules synthesized by feeding real wastewater (R‐granules) in a sequencing batch reactor were applied to remove Ni2+ and Cd2+ from aqueous solutions and compared with granules cultivated with laboratory‐synthesized wastewater (S‐granules). Metal biosorption was related to solution pH, initial metal concentration, and reaction time. The chemically modified R‐granules showed increased removal efficiency for the examined metals, and the results were almost identical to those of S‐granules. Ion‐exchange and complexation with extracellular polymeric substances were the predominant mechanisms involved in Ni2+ and Cd2+ loading onto the granules, whereby different groups were associated with the binding. The oxygen atom in peptide bonds interacted more with heavy metals than the nitrogen atom.

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Section: Effect Of Reaction Time On the Biosorption Of Ni 2+ And CD 2+mentioning

confidence: 91%

Biosorption and Binding Mechanisms of Ni²⁺ and Cd²⁺ with Aerobic Granules Cultivated in Different Synthetic Media

2017

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“…These polymers offer many functional groups, which can bind metal ions such as carboxyl, hydroxyl, sulphate, phosphate, and amino. [6,7] Many types of edible mushroom biomass, Lentinus sajor-caju, [8] Agaricus bisporus, [9,10] Agaricus macrosporus, [11] Amanita rubescens, [12] Pleurotus platypus, [13] Pleurotus ostreatus, [14] and Lactarius scobiculatus, [15] for example, have been successfully employed in recent years for metals removal from aqueous solution.…”

Section: Introductionmentioning

confidence: 99%

Prediction of Cu(II) biosorption performances on wild mushrooms Lactarius piperatus using Artificial Neural Networks (ANN) model

2016

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This work investigates the possible usage of edible mushrooms as support for metabolic quantities of copper. Biosorption potential of natural and biodegradable matrix formed from wild Lactarius piperatus mushrooms, in suspension (LP) and alginate immobilized based beads (LPAB), was explored. The effects of biomass quantity, Cu(II) concentration, and temperature were assessed. LPAB showed better adsorption capacity (7.67 mg/g) by comparison to LP biosorbent (6.43 mg/g). Also, biosorption efficiencies up to 76 and 99 % for LP and LPAB (for the same quantity of biomass, 2 g), respectively, were obtained. Furthermore, a multilayer feed forward Artificial Neural Network (ANN) model was developed in order to predict the biosorption efficiency. The trained ANNs, for LP and LAPB biosorbents, showed good correlation (R = 0.998) between the predicted and experimental biosorption efficiency, associated to reduced mean relative errors and demonstrated that the ANN has a good generalization potential. 1–2 g of Lactarius piperatus mushroom, as powder or in alginate‐based beads containing Cu(II), could be used as a dietary supplement in order to supply the daily copper demand of the organism.

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“…HIRA also used to evaluate potential hazards in paper production. The result show that this method can identify 23 potential hazards with 10 of it categorized as high risks [10].…”

Section: Introductionmentioning

confidence: 94%

Risk control analysis of a furniture production activities using hazard identification and risk assessment method

2018

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The furniture industry in Indonesia is growing rapidly that leads to technological development. But the use of technology in the industry creates some risk to worker safety. The number of work accidents in Indonesia at the end of 2016 is relatively high. Therefore, this research is conducted to identify hazards and determine risk control using hazard identification and risk assessment method (HIRA). There are three main stages, i.e. identify and analyze hazards, classify hazards and risk control. The result shows that there are nine potential hazards in furniture production, 22% of it is categorized as high risk level, i.e. hand slashed and fingers cut by machine. Three types of risk control activities are determined to minimize the risk, i.e. administration and engineering control and personal protective equipment.

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Identification of Potential Hazard using Hazard Identification and Risk Assessment

Cited by 13 publications

References 1 publication

Biosorption and Binding Mechanisms of Ni²⁺ and Cd²⁺ with Aerobic Granules Cultivated in Different Synthetic Media

Biosorption and Binding Mechanisms of Ni²⁺ and Cd²⁺ with Aerobic Granules Cultivated in Different Synthetic Media

Prediction of Cu(II) biosorption performances on wild mushrooms Lactarius piperatus using Artificial Neural Networks (ANN) model

Risk control analysis of a furniture production activities using hazard identification and risk assessment method

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Identification of Potential Hazard using Hazard Identification and Risk Assessment

Cited by 13 publications

References 1 publication

Biosorption and Binding Mechanisms of Ni2+ and Cd2+ with Aerobic Granules Cultivated in Different Synthetic Media

Biosorption and Binding Mechanisms of Ni2+ and Cd2+ with Aerobic Granules Cultivated in Different Synthetic Media

Prediction of Cu(II) biosorption performances on wild mushrooms Lactarius piperatus using Artificial Neural Networks (ANN) model

Risk control analysis of a furniture production activities using hazard identification and risk assessment method

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Product

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Biosorption and Binding Mechanisms of Ni²⁺ and Cd²⁺ with Aerobic Granules Cultivated in Different Synthetic Media

Biosorption and Binding Mechanisms of Ni²⁺ and Cd²⁺ with Aerobic Granules Cultivated in Different Synthetic Media